import pandas as pd
import numpy as np
import akshare as ak
import matplotlib.pyplot as plt


# 获取数据
def get_stock_data(symbol, start_date, end_date):
    return ak.stock_Zh_a_hist(symbol=symbol,)

# 涨停板识别
def indentity_limit_up(df, threshold=9.5):
    df["涨跌幅"] = df["收盘"].pct_change() * 100
    df["是否涨停"] = df["涨跌幅"] >= threshold
    limit_up_dates = df[df["是否涨停"]].index.tolist()
    return df 

# 收益率计算
def calculate_post_limit_returns(df, periods=[1, 3, 5, 10]):
    pass

# 多股分析
def multi_stock_analysis(stock_list):
    pass

# 结果可视化
def plot_result(result):
    pass


